Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-01-01 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2023-01-01_final.stac-item
2023-01-01 11:53:05	ga_s2bm_ard_3-2-1_50KPD_2023-01-01_final.stac-item
2023-01-02 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2023-01-02_final.stac-item
2023-01-04 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2023-01-04_final.stac-item
2023-01-11 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2023-01-11_final.stac-item
2023-01-11 11:53:03	ga_s2bm_ard_3-2-1_50KPD_2023-01-11_final.stac-item
2023-01-12 11:27:03	ga_s2bm_ard_3-2-1_51HWB_2023-01-12_final.stac-item
2023-01-14 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2023-01-14_final.stac-item
2023-01-19 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2023-01-19_final.stac-item
2023-01-21 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2023-01-21_final.stac-item
2023-01-21 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2023-01-21_final.stac-item
2023-01-24 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2023-01-24_final.stac-item
2023-01-29 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2023-01-29_final.stac-item
2023-01-31 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2023-01-31_final.stac-item
2023-01-31 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2023-01-31_final.stac-item
2023-02-01 11:27:05	ga_s2bm_ard_3-2-1_51HWB_2023-02-01_final.stac-item
2023-02-03 12:05:55	ga_s2bm_ard_3-2-1_49JGH_2023-02-03_final.stac-item
2023-02-08 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2023-02-08_final.stac-item
2023-02-10 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2023-02-10_final.stac-item
2023-02-10 11:53:05	ga_s2bm_ard_3-2-1_50KPD_2023-02-10_final.stac-item
2023-02-11 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2023-02-11_final.stac-item
2023-02-13 12:05:57	ga_s2bm_ard_3-2-1_49JGH_2023-02-13_final.stac-item
2023-02-18 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2023-02-18_final.stac-item
2023-02-20 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2023-02-20_final.stac-item
2023-02-20 11:53:06	ga_s2bm_ard_3-2-1_50KPD_2023-02-20_final.stac-item
2023-02-23 12:05:58	ga_s2bm_ard_3-2-1_49JGH_2023-02-23_final.stac-item
2023-02-28 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2023-02-28_final.stac-item
2023-03-03 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2023-03-03_final.stac-item
2023-09-29 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-09-29_final.stac-item
2023-09-29 11:24:32	ga_s2bm_ard_3-2-1_51JWN_2023-09-29_final.stac-item
2023-09-29 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-09-29_final.stac-item
2023-09-29 11:24:54	ga_s2bm_ard_3-2-1_51JYL_2023-09-29_final.stac-item
2023-09-29 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2023-09-29_final.stac-item
2023-09-29 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-09-29_final.stac-item
2023-09-29 11:26:10	ga_s2bm_ard_3-2-1_51JXF_2023-09-29_final.stac-item
2023-09-29 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2023-09-29_final.stac-item
2023-09-29 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2023-09-29_final.stac-item
2023-09-29 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2023-09-29_final.stac-item
2023-09-29 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-09-29_final.stac-item
2023-09-29 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2023-09-29_final.stac-item
2023-10-01 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-10-01_final.stac-item
2023-10-01 12:03:28	ga_s2bm_ard_3-2-1_50KLC_2023-10-01_final.stac-item
2023-10-01 12:03:35	ga_s2bm_ard_3-2-1_50KNB_2023-10-01_final.stac-item
2023-10-01 12:03:39	ga_s2bm_ard_3-2-1_50KMB_2023-10-01_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KNA_2023-10-01_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-01_final.stac-item
2023-10-01 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-10-01_final.stac-item
2023-10-01 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-01_final.stac-item
2023-10-01 12:04:08	ga_s2bm_ard_3-2-1_50KMV_2023-10-01_final.stac-item
2023-10-01 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-01_final.stac-item
2023-10-01 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2023-10-01_final.stac-item
2023-10-01 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final.stac-item
2023-10-01 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2023-10-01_final.stac-item
2023-10-01 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2023-10-01_final.stac-item
2023-10-01 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final.stac-item
2023-10-01 12:04:34	ga_s2bm_ard_3-2-1_50KKU_2023-10-01_final.stac-item
2023-10-01 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-01_final.stac-item
2023-10-01 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-10-01_final.stac-item
2023-10-01 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-01_final.stac-item
2023-10-01 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2023-10-01_final.stac-item
2023-10-01 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-10-01_final.stac-item
2023-10-01 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-10-01_final.stac-item
2023-10-01 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2023-10-01_final.stac-item
2023-10-01 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-01_final.stac-item
2023-10-01 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-10-01_final.stac-item
2023-10-01 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-01_final.stac-item
2023-10-01 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-01_final.stac-item
2023-10-01 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-01_final.stac-item
2023-10-01 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-01_final.stac-item
2023-10-01 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-01_final.stac-item
2023-10-01 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2023-10-01_final.stac-item
2023-10-01 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-10-01_final.stac-item
2023-10-01 12:06:16	ga_s2bm_ard_3-2-1_50JLL_2023-10-01_final.stac-item
2023-10-11 12:00:39	ga_s2bm_ard_3-2-1_50LPP_2023-10-11_nrt.stac-item
2023-10-11 12:00:42	ga_s2bm_ard_3-2-1_50LNP_2023-10-11_nrt.stac-item
2023-10-11 12:00:46	ga_s2bm_ard_3-2-1_50LMP_2023-10-11_nrt.stac-item
2023-10-11 12:00:53	ga_s2bm_ard_3-2-1_50LPN_2023-10-11_nrt.stac-item
2023-10-11 12:00:56	ga_s2bm_ard_3-2-1_50LNN_2023-10-11_nrt.stac-item
2023-10-11 12:00:59	ga_s2bm_ard_3-2-1_50LMN_2023-10-11_nrt.stac-item
2023-10-11 12:01:08	ga_s2bm_ard_3-2-1_50LPM_2023-10-11_nrt.stac-item
2023-10-11 12:01:11	ga_s2bm_ard_3-2-1_50LNM_2023-10-11_nrt.stac-item
2023-10-11 12:01:14	ga_s2bm_ard_3-2-1_50LMM_2023-10-11_nrt.stac-item
2023-10-11 12:01:22	ga_s2bm_ard_3-2-1_50LPL_2023-10-11_nrt.stac-item
2023-10-11 12:01:25	ga_s2bm_ard_3-2-1_50LNL_2023-10-11_nrt.stac-item
2023-10-11 12:01:29	ga_s2bm_ard_3-2-1_50LML_2023-10-11_nrt.stac-item
2023-10-11 12:01:34	ga_s2bm_ard_3-2-1_50LPK_2023-10-11_nrt.stac-item
2023-10-11 12:01:36	ga_s2bm_ard_3-2-1_50LNK_2023-10-11_nrt.stac-item
2023-10-11 12:01:38	ga_s2bm_ard_3-2-1_50LMK_2023-10-11_nrt.stac-item
2023-10-11 12:02:57	ga_s2bm_ard_3-2-1_50KNE_2023-10-11_nrt.stac-item
2023-10-11 12:03:00	ga_s2bm_ard_3-2-1_50KLE_2023-10-11_nrt.stac-item
2023-10-11 12:03:03	ga_s2bm_ard_3-2-1_50KKE_2023-10-11_nrt.stac-item
2023-10-11 12:03:07	ga_s2bm_ard_3-2-1_50KND_2023-10-11_nrt.stac-item
2023-10-11 12:03:14	ga_s2bm_ard_3-2-1_50KLD_2023-10-11_nrt.stac-item
2023-10-11 12:03:16	ga_s2bm_ard_3-2-1_50KKD_2023-10-11_nrt.stac-item
2023-10-11 12:03:19	ga_s2bm_ard_3-2-1_49KHU_2023-10-11_nrt.stac-item
2023-10-11 12:03:31	ga_s2bm_ard_3-2-1_50KKC_2023-10-11_nrt.stac-item
2023-10-11 12:06:04	ga_s2bm_ard_3-2-1_49JFH_2023-10-11_nrt.stac-item
2023-10-11 12:06:18	ga_s2bm_ard_3-2-1_49JFG_2023-10-11_nrt.stac-item
2023-10-11 12:06:23	ga_s2bm_ard_3-2-1_50JKL_2023-10-11_nrt.stac-item
2023-10-11 12:06:25	ga_s2bm_ard_3-2-1_49JGF_2023-10-11_nrt.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years